Senior Data Analyst
Summary
Build and maintain scalable data pipelines for AI/ML user experience projects using GCP, Airflow, and Spark, ensuring data quality and reliability.
Our client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site.
Responsibilities;
- Providing data sources that help build the AI/ML user experience
- Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow.
- Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness.
- Scope and plan work together with product engineering, data science and the business; support other teams for all tasks related to data tracking, collection, ingestion, quality monitoring and alerting.
Experience
- 5+ years data analysis experience developing applications including Scala/Java and/or Python.
- Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt;
- Working knowledge of SQL and shell scripting;
- Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar.
- Confident at articulating complex technical content to peers and partners across the organization via Technical Design Documents.
This is a great opportunity to further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform & Google Cloud Platform.
Benefits
- Hybrid working
- Long contract
- Award winning work environment